
The current Internet architecture is over 40 years old. Recently, a revolutionary clean-slate alternative, the Recursive InterNet Architecture (RINA) has been proposed. RINA incorporates the best design decisions made during the last four decades, while fixing critical problems in the current Internet.
RINA provides a unified theory of networking by extending Inter-Process Communication (IPC) mechanisms between applications running on a single computing system to support distributed applications, thus blending the fields of networking and distributed systems. Wireless sensor networks consist of extremely resource-constrained devices called ‘motes’, in such an environment, a traditional layered network stack consumes a great amount of resources. Due to the severe resource-constraints and the vast number of devices to be connected, wireless sensor networks represent the ultimate test scenario for RINA.
The RINAiSense project will improve the scalability and security of Wireless Sensor Networks, while investigating the applicability of RINA to resource-constrained systems. RINAiSense will investigate how advanced software composition techniques can be used to minimize the footprint of the RINA stack on an embedded device and thus free-up mote resources for higher-level applications. The proposed research lays the fundamental foundation for technologies that will impact logistics, smart clothing and e-health.
On the event of the adoption of the draft regulation laying down measures for a high common level of cybersecurity at the institutions, bodies, offices and agencies of the Union, the AI4HealthSec project kicked off a process to provide its opinion.
Cyberwatching.eu has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 740129. The content of this website does not represent the opinion of the European Commission, and the European Commission is not responsible for any use that might be made of such content. Privacy Policy | Disclaimer / Terms and Conditions of Use